v0.4

• Add Dimension2 class, which provides another format to construct dimensions. Unlike Dimension class, Dimension2 allows users to specify optimization precision.
• Add SRacosTune class, which is used to suggest/provide trials and process results for Tune (a platform based on RAY for distributed model selection and training).

v0.3

• Add a parallel implementation of SRACOS, which accelarates the optimization by asynchronous parallelization.
• Add a function that enables users to set a customized stop criteria for the optimization.

v0.2.3

v0.2.3

v0.2.2

1. Fix bugs in the initialization step during the discrete optimization
2. Fix the bugs that index_set size equals zero during the discrete
   optimization
3. Now users can initialize sample set using

parameter = Parameter(..., init_samples = [Solution(), …], ...)

v0.2.1

• Fix bugs in the installation on Windows.
• Improve ZOOpt's interaction with users.

v0.2

• Add the noise handling strategies Re-sampling and Value Suppression (AAAI'18), and the subset selection method with noise handling PONSS (NIPS'17)
• Add high-dimensionality handling method Sequential Random Embedding (IJCAI'16)
• Rewrite Pareto optimization method. Bugs fixed.

v0.1

• Include the general optimization method RACOS (AAAI'16) and Sequential RACOS (AAAI'17), and the subset selection method POSS (NIPS'15).
• The algorithm selection is automatic. See examples in the example fold. -Default parameters work well on many problems, while parameters are fully controllable
• Running speed optmized for Python